This article employs bibliometric tools like VOSviewer, Bibliometrix, and CiteSpace for a comprehensive visual analysis of 1,612 documents on Emerging Contaminants in Waters from the Web Science database. The objective is to elucidate historical development, research hotspots, trends international studies this field, offering valuable insights guidance future directions. reveals consistent increase publications 2003 2023, with United States, China, Spain being most prolific contributors. A...

This article considers a setting where embedded devices are used to acquire and classify images. Because of limited computing capacity, rely on parsimonious classification model with uneven accuracy. When local is deemed inaccurate, can decide offload the image an edge server more accurate but resource-intensive model. Resource constraints, e.g., network bandwidth, however, require regulating such transmissions avoid congestion high latency. investigates this offloading problem when...

Developing robotic technologies for use in human society requires ensuring the safety of robots' navigation behaviors while adhering to pedestrians' expectations and social norms. However, understanding complex human-robot interactions (HRI) infer potential cooperation response among robots pedestrians cooperative collision avoid-ance is challenging. To address these challenges, we propose a novel socially-aware benchmark called NaviS Tar, which utilizes hybrid Spatio- Temporal grAph...

Atmospheric temperature forecast plays an important role in weather and has a significant impact on human daily economic life. However, due to the complexity uncertainty of atmospheric system, exploring advanced forecasting methods improve accuracy meteorological prediction always been research topic for scientists. With continuous improvement computer performance data acquisition technology, gained explosive growth, which creates necessary hardware support conditions more accurate forecast....

The behavior of pigs is intricately tied to their health status, highlighting the critical importance accurately recognizing pig behavior, particularly abnormal for effective monitoring and management. This study addresses challenge accommodating frequent non-rigid deformations in using deformable convolutional networks (DCN) extract more comprehensive features by incorporating offsets during training. To overcome inherent limitations traditional DCN offset weight calculations, introduces...

This project has conducted research on robot path planning based Visual SLAM. The main work of this is as follows: (1) Construction SLAM system. Research been the basic architecture A system developed ORB-SLAM3 system, which can conduct dense point cloud mapping. (2) map suitable for two-dimensional obtained through conversion. part converts by into an octomap and then performs projection transformation to grid map. conversion containing a large amount redundant information extremely...

Preference-based reinforcement learning (PbRL) has shown significant promise for personalization in human-robot interaction (HRI) by explicitly integrating human preferences into the robot process. However, existing practices often require training a personalized policy from scratch, resulting inefficient use of feedback. In this paper, we propose preference-based action representation (PbARL), an efficient fine-tuning method that decouples common task structure preference leveraging...

Preference-based reinforcement learning (PbRL) shows promise in aligning robot behaviors with human preferences, but its success depends heavily on the accurate modeling of preferences through reward models. Most methods adopt Markovian assumptions for preference (PM), which overlook temporal dependencies within behavior trajectories that impact evaluations. While recent works have utilized sequence to mitigate this by sequential non-Markovian rewards, they ignore multimodal nature...

By taking advantage of active radio waves, radar sensors can provide high-accuracy target detection over traditional passive sensors. In this paper, we study barrier coverage in bistatic sensor networks (BRSNs), which consist a set transmitter radars and receiver radars. Barrier BRSNs is much more difficult than that as the sensing area depends on positions both receiver, typically Cassini oval. Moreover, different transmitters receivers pair with each other by choosing same frequency thus...

In this study, a label-free interdigitated array (IDA) microelectrode-based immunosensor was designed and tested for rapid sensitive detection of E. coli O157:H7. The surface gold IDA microelectrodes (25 pairs fingers with 700 m length 10 width space) modified protein A further immobilized polyclonal antibodies against 20 L sample containing O157:H7 in 0.01 M phosphate buffered saline (PBS) at pH 7.4 dropped on the incubated 2 h room temperature. After target bacteria were captured by...

The responses of nonlinear dynamics two classes to coupling are investigated. It is shown both analytically and numerically that has an excitation ability in a network the linearly coupled systems. That is, when uncoupled system degenerated stable steady state from limit cycle but "marginal" due parameter, appropriate strength can excite such systems exhibit synchronous oscillation; close chaotic attractor, certain induce attractor reach synchronization. Such functions different its...

Contact tracing is a powerful tool for mitigating the spread of COVID-19 during pandemic. Front-line healthcare workers are particularly at high risk infection in hospital units. This paper presents ContAct TraCing Hospitals (CATCH), an automated contact system designed specifically environments. CATCH employs distributed embedded devices placed throughout unit to detect close contacts among wearing Bluetooth Low Energy (BLE) beacons. We first identify set distinct scenarios based on diverse...

A real-time hardware architecture based on scale-invariant feature transform algorithm (SIFT) extraction with parallel technology has been introduced in this paper. The proposed could be able to extract via a Field-Programmable Gate Array (FPGA) chip efficiently, which provided the performance and similar accuracy software implementation. In terms of resource consumption speed, original SIFT significantly optimized following aspects: 1) Down-sampling used replace up-sampling for purpose...

Bacterial control is an important part of the production and processing cow's milk product. However, hydrolytic enzymes small-molecule metabolites from thermophilic cryophilic bacteria are still present in after low-temperature storage, transportation high-temperature sterilization, which adversely affect quality dairy products. Xinjiang, a high-quality area China, has not been systematically reported on structure bacterial communities species, sources, hazards cryptophilic/thermophilic...

We present AnaMoDiff, a novel diffusion-based method for 2D motion analogies that is applied to raw, unannotated videos of articulated characters. Our goal accurately transfer motions from driving video onto source character, with its identity, in terms appearance and natural movement, well preserved, even when there may be significant discrepancies between the characters their part proportions movement speed styles. diffusion model transfers input via latent optical flow (LOF) network...

Gut microbiota significantly influences human health, impacted by factors like diet, genetics, and environment. Camel milk, especially in its fermented form, is rich nutrients flee from common allergens, offering both nutritional therapeutic benefits for centuries. However, comprehensive studies on effects gut metabolic health are scarce. Our findings demonstrate that camel milk contains beneficial microbes, such as Lactobacillus helveticus Eubacterium liinosum , which can be transmitted to...

A four-port composite probe with a pair of symmetric cross-orthogonal loops has been verified to measure electric and magnetic fields simultaneously. But in the near-field measurement, asymmetry transmission path is difficult avoid will cause deviations measurement results. To eliminate effectively, asymmetric calibration method (ACM) proposed for simultaneous measuring H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub> ,...

This study focuses on the bacterial community structure of raw cow's milk from Xinjiang, a high-quality production area in China. Collection samples across seven pastures to identify and analyze species, origins, potential hazards posed by cryophilic thermophilic bacteria. Bacterial communities within northern southern border were analyzed. At phylum level, Three dominant phyla discovered north, contrasted with four pastures. genus it was 5 15, respectively, including Pseudomonas...

Preference-based reinforcement learning (PbRL) is emerging as a promising approach to teaching robots through human comparative feedback, sidestepping the need for complex reward engineering. However, substantial volume of feedback required in existing PbRL methods often lead reliance on synthetic generated by scripted teachers. This necessitates intricate engineering again and struggles adapt nuanced preferences particular human-robot interaction (HRI) scenarios, where users may have unique...